RLWRLD is a leading Physical AI company developing a Robotics Foundation Model (RFM) that enables robots to perceive, reason, and act in the real world like humans.
Building on deep research capabilities in AI and robotics and a strong data collaboration network with industrial partners in Japan, Korea, and beyond, RLWRLD is rapidly advancing our RFM to enable precise manipulation by high-degree-of-freedom robotic hands. The company is also collaborating with world-class research groups and partners in robotics and sensor solutions to develop AI models that can be practically deployed across industries such as manufacturing, logistics, and services.
Having raised approximately KRW 60 billion in cumulative seed funding from leading domestic and global venture capital firms and major corporations, RLWRLD continues to attract exceptional talent who are eager to drive innovation across AI, robotics technology, and business.
About the Product Organization
At RLWRLD, our Product Organization is responsible for developing all core products — spanning planning, development, and research.
We are building foundational technologies such as:
- Robotics Foundation Model (RFM)
- APIs/SDKs to deliver RFM functionality
- Data pipeline & teleoperation tools
- Training systems for model learning
- Benchmark systems to test performance
- Robot control systems
- Infra stack (GPU orchestration, compute management)
Our team includes both research and software engineers, working fluidly across AI model development and software infrastructure. We collaborate closely with Academy Researchers, robotic hardware partners, and internal business developers to deliver cutting-edge robotics solutions.
Position Overview
We design and implement AI models that enable robots to behave intelligently in real-world environments.
This role focuses on accurately modeling complex system components—such as robot motion, physical embodiment, and sensor interactions—using advanced AI modeling techniques, and deploying them in real environments to achieve stable and reliable control performance. In particular, by designing and optimizing high-performance model architectures, this role establishes the foundation for robots to learn and adapt more efficiently and flexibly.
We invite passionate individuals who are eager to take on challenges and grow together at the forefront of future robotics innovation.
Key Responsibilities
- Research & development of VLA and action-generation models
- Design model architectures that integrate images, videos, language data, and robot actions
- Apply and optimize deep learning techniques for effective multimodal information processing
- Building models based on Imitation Learning
- Develop algorithms that learn robot control policies using demonstration data
- Design data collection and preprocessing pipelines, as well as model validation processes
- Large-scale model training and optimization
- Train large-scale models and optimize hyperparameters using HPC systems or GPU clusters
- Maximize training speed and accuracy using parallel and distributed learning frameworks
- Validation of research outcomes & cross-team collaboration
- Test and analyze model performance comprehensively in simulation and real-robot environments
- Collaborate with robotics system engineers, software engineers, and related teams to drive integration and improvements
Required Qualifications
- Strong Expertise in Deep Learning & Generative Models
- In-depth understanding of state-of-the-art architectures such as Transformers, Diffusion Models, and Flow Matching, with the ability to implement and optimize them for robotic control tasks.
- Experience with VLA or Large-Scale VLMs
- Hands-on experience designing decision-making and control policies by integrating multimodal data.
- Experience applying large-scale models to real-world robotic tasks.
- Practical Experience in Imitation Learning
- Experience optimizing policies in high-dimensional action spaces using behavior cloning approaches.
- Programming and Development Proficiency
- Strong programming skills for modeling and real-system integration using Python (PyTorch and/or JAX).
Preferred Qualifications
- Robotics Project Experience
- Experience integrating models in real or simulated robotic environments using ROS and simulation tools such as MuJoCo or Isaac Sim.
- Distributed and Parallel Training Experience
- Experience training and optimizing large-scale models in GPU cluster or HPC environments.
- Data Pipeline and MLOps Experience
- Experience with machine learning lifecycle automation, including data management, model serving, and CI/CD.
- Mathematical and Statistical Foundations
- Solid understanding of probability theory, optimization, and the mathematical foundations of reinforcement learning.
- Research Publications and Presentations
- Experience publishing or presenting robotics AI research at top-tier conferences or journals such as ICRA, IROS, or NeurIPS.
Working Conditions
- Work Location: 561 Seolleung-ro, Gangnam-gu, Seoul (RUBINA Building, Yeoksam-dong)
- Employment Type: Full-time
- Probationary Period
- A three-month probationary period will apply upon employment.
- During this period, your work attitude and performance will be evaluated.
- Depending on the evaluation results, the probationary period may be extended or the employment offer may be withdrawn.
How to Apply
- Application Materials:
- Resume in English or Korean
- (optional) Portfolio, research materials, or project documents showcasing your capabilities
- Application Deadline: Rolling basis
Hiring Process
- Document Screening → 1st Interview → 2nd Interview → 3rd Interview → Final Offer
- Candidates who pass the document screening will be contacted individually.
- Additional Coffee Chats or Coding Test may be conducted if necessary.
Work Environment & Support
- Flexible Work Schedule: Adjust your working hours autonomously to match your personal rhythm.
- Equipment & Software Support: We provide job-specific equipment and essential software required for your role.
- Office Amenities: Enjoy our in-office snack bar and coffee machines.
- Holiday & Birthday Gifts: Small gifts are provided for holidays and birthdays.
- Health Checkup Support: We support your well-being through regular health checkups.
RLWRLD is a leading Physical AI company developing a Robotics Foundation Model (RFM) that enables robots to perceive, reason, and act in the real world like humans.
Building on deep research capabilities in AI and robotics and a strong data collaboration network with industrial partners in Japan, Korea, and beyond, RLWRLD is rapidly advancing our RFM to enable precise manipulation by high-degree-of-freedom robotic hands. The company is also collaborating with world-class research groups and partners in robotics and sensor solutions to develop AI models that can be practically deployed across industries such as manufacturing, logistics, and services.
Having raised approximately KRW 60 billion in cumulative seed funding from leading domestic and global venture capital firms and major corporations, RLWRLD continues to attract exceptional talent who are eager to drive innovation across AI, robotics technology, and business.
About the Product Organization
At RLWRLD, our Product Organization is responsible for developing all core products — spanning planning, development, and research.
We are building foundational technologies such as:
- Robotics Foundation Model (RFM)
- APIs/SDKs to deliver RFM functionality
- Data pipeline & teleoperation tools
- Training systems for model learning
- Benchmark systems to test performance
- Robot control systems
- Infra stack (GPU orchestration, compute management)
Our team includes both research and software engineers, working fluidly across AI model development and software infrastructure. We collaborate closely with Academy Researchers, robotic hardware partners, and internal business developers to deliver cutting-edge robotics solutions.
Position Overview
We design and implement AI models that enable robots to behave intelligently in real-world environments.
This role focuses on accurately modeling complex system components—such as robot motion, physical embodiment, and sensor interactions—using advanced AI modeling techniques, and deploying them in real environments to achieve stable and reliable control performance. In particular, by designing and optimizing high-performance model architectures, this role establishes the foundation for robots to learn and adapt more efficiently and flexibly.
We invite passionate individuals who are eager to take on challenges and grow together at the forefront of future robotics innovation.
Key Responsibilities
- Research & development of VLA and action-generation models
- Design model architectures that integrate images, videos, language data, and robot actions
- Apply and optimize deep learning techniques for effective multimodal information processing
- Building models based on Imitation Learning
- Develop algorithms that learn robot control policies using demonstration data
- Design data collection and preprocessing pipelines, as well as model validation processes
- Large-scale model training and optimization
- Train large-scale models and optimize hyperparameters using HPC systems or GPU clusters
- Maximize training speed and accuracy using parallel and distributed learning frameworks
- Validation of research outcomes & cross-team collaboration
- Test and analyze model performance comprehensively in simulation and real-robot environments
- Collaborate with robotics system engineers, software engineers, and related teams to drive integration and improvements
Required Qualifications
- Strong Expertise in Deep Learning & Generative Models
- In-depth understanding of state-of-the-art architectures such as Transformers, Diffusion Models, and Flow Matching, with the ability to implement and optimize them for robotic control tasks.
- Experience with VLA or Large-Scale VLMs
- Hands-on experience designing decision-making and control policies by integrating multimodal data.
- Experience applying large-scale models to real-world robotic tasks.
- Practical Experience in Imitation Learning
- Experience optimizing policies in high-dimensional action spaces using behavior cloning approaches.
- Programming and Development Proficiency
- Strong programming skills for modeling and real-system integration using Python (PyTorch and/or JAX).
Preferred Qualifications
- Robotics Project Experience
- Experience integrating models in real or simulated robotic environments using ROS and simulation tools such as MuJoCo or Isaac Sim.
- Distributed and Parallel Training Experience
- Experience training and optimizing large-scale models in GPU cluster or HPC environments.
- Data Pipeline and MLOps Experience
- Experience with machine learning lifecycle automation, including data management, model serving, and CI/CD.
- Mathematical and Statistical Foundations
- Solid understanding of probability theory, optimization, and the mathematical foundations of reinforcement learning.
- Research Publications and Presentations
- Experience publishing or presenting robotics AI research at top-tier conferences or journals such as ICRA, IROS, or NeurIPS.
Working Conditions
- Work Location: 561 Seolleung-ro, Gangnam-gu, Seoul (RUBINA Building, Yeoksam-dong)
- Employment Type: Full-time
- Probationary Period
- A three-month probationary period will apply upon employment.
- During this period, your work attitude and performance will be evaluated.
- Depending on the evaluation results, the probationary period may be extended or the employment offer may be withdrawn.
How to Apply
- Application Materials:
- Resume in English or Korean
- (optional) Portfolio, research materials, or project documents showcasing your capabilities
- Application Deadline: Rolling basis
Hiring Process
- Document Screening → 1st Interview → 2nd Interview → 3rd Interview → Final Offer
- Candidates who pass the document screening will be contacted individually.
- Additional Coffee Chats or Coding Test may be conducted if necessary.
Work Environment & Support
- Flexible Work Schedule: Adjust your working hours autonomously to match your personal rhythm.
- Equipment & Software Support: We provide job-specific equipment and essential software required for your role.
- Office Amenities: Enjoy our in-office snack bar and coffee machines.
- Holiday & Birthday Gifts: Small gifts are provided for holidays and birthdays.
- Health Checkup Support: We support your well-being through regular health checkups.